Triple

T2458558
Position Surface form Disambiguated ID Type / Status
Subject Anglo-Afghan Wars E54477 entity
Predicate relatedTo P37 FINISHED
Object Great Game E29457 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Great Game | Statement: [Anglo-Afghan Wars, relatedTo, Great Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Game
Context triple: [Anglo-Afghan Wars, relatedTo, Great Game]
  • A. Great Game chosen
    The Great Game was the 19th-century strategic rivalry and political conflict between the British and Russian Empires over influence and territory in Central Asia.
  • B. Battle of the Nations
    The Battle of the Nations was a major 1813 Napoleonic War engagement near Leipzig in which a coalition of European powers decisively defeated Napoleon’s forces.
  • C. Empire Games
    Empire Games is the former name of the international multi-sport event now known as the Commonwealth Games, featuring athletes from countries of the British Empire and later the Commonwealth.
  • D. World Competition
    World Competition is the main international competitive section of the Montreal World Film Festival, showcasing feature films from around the globe vying for top awards.
  • E. Battleground
    "Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10a35f88190b102a2cb5c88146e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f82b220819084f2b5275bf3b596 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:44 p.m.